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  1. tensorflow/c/eager/parallel_device/parallel_device_lib.h

      // before `StartExecute` is called again. Using `StartExecute` with `Join`
      // allows the caller to schedule computation on multiple ParallelDevices
      // without sequencing those operations (first call `StartExecute` on each
      // parallel device, then call `Join` on each; even if some of the `Join`s
      // return a bad status the caller must run all of the `Join`s or any future
      // `StartExecute`s will deadlock).
      //
    C
    - Registered: Tue Apr 30 12:39:09 GMT 2024
    - Last Modified: Tue Apr 25 15:21:13 GMT 2023
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  2. tensorflow/c/eager/tape.h

        const std::unordered_map<int64_t, int64_t>& op_missing_tensor) {
      std::vector<int64_t> result;
      for (auto& op_entry : op_tape) {
        if (op_missing_tensor.find(op_entry.first) == op_missing_tensor.end()) {
          result.push_back(op_entry.first);
        }
      }
      return result;
    }
    
    template <typename Gradient, typename BackwardFunction, typename TapeTensor>
    Status InitialGradients(
    C
    - Registered: Tue Apr 30 12:39:09 GMT 2024
    - Last Modified: Tue Apr 02 12:40:29 GMT 2024
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  3. tensorflow/c/c_api.h

    //       .Output("output: T")
    //       .Attr("N: int >= 2")
    //       .Attr("T: type");
    // that defines two inputs, "concat_dim" and "values" (in that order).
    // You must use TF_AddInput() for the first input (since it takes a
    // single tensor), and TF_AddInputList() for the second input (since
    // it takes a list, even if you were to pass a list with a single
    // tensor), as in:
    C
    - Registered: Tue Apr 30 12:39:09 GMT 2024
    - Last Modified: Thu Oct 26 21:08:15 GMT 2023
    - 82.3K bytes
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  4. tensorflow/c/eager/c_api.h

    // can correspond to the data contained in another dimension in on-host
    // representation. The dimensions are indexed using the standard TensorFlow
    // major-to-minor order (slowest varying dimension first),
    // not the XLA's minor-to-major order.
    // On-device dimensions can be padded. TFE_TensorDebugInfoOnDeviceDim returns
    // the number of elements in a dimension after padding.
    C
    - Registered: Tue Apr 30 12:39:09 GMT 2024
    - Last Modified: Thu Apr 27 21:07:00 GMT 2023
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